Invisible Backdoor Attacks on Deep Neural Networks via Steganography and
Regularization

Invisible Backdoor Attacks on Deep Neural Networks via Steganography and Regularization

6 September 2019

Benjamin Zi Hao Zhao

Haojin Zhu

Papers citing "Invisible Backdoor Attacks on Deep Neural Networks via Steganography and Regularization"

17 / 17 papers shown

Title
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks Changjiang Li Ren Pang Bochuan Cao Zhaohan Xi Jinghui Chen Shouling Ji Ting Wang AAML 38 6 0 14 Dec 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 33 20 0 14 Feb 2023
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense Shuyang Cheng Guanhong Tao Yingqi Liu Shengwei An Xiangzhe Xu ... Guangyu Shen Kaiyuan Zhang Qiuling Xu Shiqing Ma Xiangyu Zhang AAML 24 14 0 16 Jan 2023
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning Jinyuan Jia Yupei Liu Neil Zhenqiang Gong SILM SSL 42 151 0 01 Aug 2021
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch Hossein Souri Liam H. Fowl Ramalingam Chellappa Micah Goldblum Tom Goldstein SILM 31 124 0 16 Jun 2021
Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers C. Ashcraft Kiran Karra 23 22 0 14 Jun 2021
TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors Ren Pang Zheng-Wei Zhang Xiangshan Gao Zhaohan Xi S. Ji Peng Cheng Xiapu Luo Ting Wang AAML 29 31 0 16 Dec 2020
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation Han Qiu Yi Zeng Shangwei Guo Tianwei Zhang Meikang Qiu B. Thuraisingham AAML 24 191 0 13 Dec 2020
What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors Yi-Shan Lin Wen-Chuan Lee Z. Berkay Celik XAI 29 93 0 22 Sep 2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching Jonas Geiping Liam H. Fowl Yifan Jiang W. Czaja Gavin Taylor Michael Moeller Tom Goldstein AAML 19 215 0 04 Sep 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 36 220 0 21 Jul 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 45 589 0 17 Jul 2020
Mitigating backdoor attacks in LSTM-based Text Classification Systems by Backdoor Keyword Identification Chuanshuai Chen Jiazhu Dai SILM 55 125 0 11 Jul 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks Yunfei Liu Xingjun Ma James Bailey Feng Lu AAML 22 504 0 05 Jul 2020
Backdoor Attacks Against Deep Learning Systems in the Physical World Emily Wenger Josephine Passananti A. Bhagoji Yuanshun Yao Haitao Zheng Ben Y. Zhao AAML 29 200 0 25 Jun 2020
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks Ruixiang Tang Mengnan Du Ninghao Liu Fan Yang Xia Hu AAML 23 184 0 15 Jun 2020
Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic Zhen Xiang David J. Miller Hang Wang G. Kesidis AAML 28 9 0 18 Nov 2019